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Automatic Classification of Web Images as UML Static Diagrams Using Machine Learning Techniques

https://doi.org/10.3390/app10072406
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45941-3_11openalex-snapshot
Automata-Based Multi-agent Model as a Tool for Constructing Real-Time Intelligent Control Systems
inferredcites →https://doi.org/10.1007/978-3-540-44405-3_8openalex-snapshot
RSHP: an information representation model based on relationships
inferredcites →https://doi.org/10.1007/bf00058655openalex-snapshot
Bagging predictors
inferredcites →https://doi.org/10.1007/bf00116037openalex-snapshot
The strength of weak learnability
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00116835openalex-snapshot
The CN2 Induction Algorithm
inferredcites →https://doi.org/10.1007/bf00962821openalex-snapshot
Selecting among rules induced from a hurricane database
inferredcites →https://doi.org/10.1007/s10270-002-0013-7openalex-snapshot
Growing the UML
inferredcites →https://doi.org/10.1007/s10270-005-0079-0openalex-snapshot
On the unification power of models
inferredcites →https://doi.org/10.1007/s10270-015-0487-8openalex-snapshot
A taxonomy of tool-related issues affecting the adoption of model-driven engineering
inferredcites →https://doi.org/10.1016/j.infsof.2011.07.003openalex-snapshot
Towards an ontology-based retrieval of UML Class Diagrams
inferredcites →https://doi.org/10.1016/s0020-7373(87)80003-2openalex-snapshot
PRISM: An algorithm for inducing modular rules
inferredcites →https://doi.org/10.1016/s0893-6080(05)80023-1openalex-snapshot
Stacked generalization
inferredcites →https://doi.org/10.1016/s0950-5849(01)00189-6openalex-snapshot
Search-based software engineering
inferredcites →https://doi.org/10.1023/a:1007607513941openalex-snapshot
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
inferredcites →https://doi.org/10.1023/a:1022648800760openalex-snapshot
The Strength of Weak Learnability
inferredcites →https://doi.org/10.1109/apsec.2014.65openalex-snapshot
Automatic Classification of UML Class Diagrams from Images
inferredcites →https://doi.org/10.1109/csit.2013.6588776openalex-snapshot
Extracting UML models from images
inferredcites →https://doi.org/10.1109/icse.2012.6227059openalex-snapshot
Repository for Model Driven Development (ReMoDD)
inferredcites →https://doi.org/10.1109/msr.2017.48openalex-snapshot
An Extensive Dataset of UML Models in GitHub
inferredcites →https://doi.org/10.1109/seaa.2013.45openalex-snapshot
Img2UML: A System for Extracting UML Models from Images
inferredcites →https://doi.org/10.1145/2579991openalex-snapshot
Textual and Content-Based Search in Repositories of Web Application Models
inferredcites →https://doi.org/10.1145/2934732.2934739openalex-snapshot
Automatic classification of web images as UML diagrams
inferredcites →https://doi.org/10.1145/2976767.2976778openalex-snapshot
The quest for open source projects that use UML
inferredcites →https://doi.org/10.1145/358669.358692openalex-snapshot
Random sample consensus
inferredcites →https://doi.org/10.1145/361237.361242openalex-snapshot
Use of the Hough transformation to detect lines and curves in pictures
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
inferredcites →https://doi.org/10.5381/jot.2009.8.1.c7openalex-snapshot
On the difference between analysis and design, and why it is relevant for the interpretation of models in Model Driven Engineering.
inferredcites →https://doi.org/10.5555/645527.657305openalex-snapshot
Generating Accurate Rule Sets Without Global Optimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-99-7820-5_40openalex-snapshot
Natural Language to Unified Modeling Diagrams; A Deep Learning Approach
inferred← citeshttps://doi.org/10.1016/j.array.2025.100656openalex-snapshot
Classifying and mining design diagrams in source code repositories using transfer learning
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111431openalex-snapshot
Automatically recognizing the semantic elements from UML class diagram images
inferred← citeshttps://doi.org/10.1109/access.2024.3514455openalex-snapshot
Transforming Sketches of UML Use Case Diagrams to Models
inferred← citeshttps://doi.org/10.1109/aipr52630.2021.9762186openalex-snapshot
Using Image Processing for Architecture Extraction from Non-Standard Sources
inferred← citeshttps://doi.org/10.1109/icaii59460.2023.10497308openalex-snapshot
Research on Image Recognition Method of Class Graph Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/icitee62483.2024.10808842openalex-snapshot
Comparative Analysis of Deep Learning Models for Validating Use Case Diagrams
inferred← citeshttps://doi.org/10.1109/tse.2024.3430514openalex-snapshot
A Systematic Literature Review of Model-Driven Engineering Using Machine Learning
inferred← citeshttps://doi.org/10.15587/1729-4061.2022.265961openalex-snapshot
Analysis of the structure of web resources using the object model
inferred← citeshttps://doi.org/10.18466/cbayarfbe.1872193openalex-snapshot
Classification of UML Diagrams from Images in Software Engineering Using Deep Learning
inferred← citeshttps://doi.org/10.30857/2786-5371.2025.1.2openalex-snapshot
Automatic recognition of UML diagrams in images: Approaches, trends, and challenges
inferred← citeshttps://doi.org/10.3390/app11094267openalex-snapshot
Automatic Classification of UML Class Diagrams Using Deep Learning Technique: Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/app14156827openalex-snapshot
Self-Adaptable Software for Pre-Programmed Internet Tasks: Enhancing Reliability and Efficiency
inferred← citeshttps://doi.org/10.3390/app14198644openalex-snapshot
A Methodology Based on Deep Learning for Contact Detection in Radar Images
inferred← citeshttps://doi.org/10.3390/app142310873openalex-snapshot
Creating and Validating a Ground Truth Dataset of Unified Modeling Language Diagrams Using Deep Learning Techniques
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